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HASK | COLLOCATION  DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 954 -81.12 17.94 2,720.27 0.83 97 267,193 203.45
2. go go
goes
going
gone
went
Verb 12 -51.52 3.18 170.5 0.7 11 8,880,545 6.12
3. have 've
had
has
have
Having
Verb 261 -50.19 14.02 684.41 0.77 68 814,901 66.71
4. take take
taken
takes
taking
took
Verb 8 -48.85 1.81 132.58 0.66 8 16,724,414 3.25
5. would would Verb 24 -45.35 5.81 205.55 0.79 21 3,325,513 16.35
6. say said
say
saying
says
Verb 30 -43.23 6.66 215.86 0.6 17 5,473,241 9.93
7. do did
do
does
doing
done
Verb 84 -39.86 10.37 310.73 0.68 37 3,047,383 17.84
8. know know
known
Verb 13 -38.02 3.87 127.16 0.72 12 8,203,018 6.63
9. get Get
gets
getting
got
Verb 24 -31.72 6.27 137.09 0.66 15 6,538,212 8.31
10. could could Verb 16 -29.71 4.92 106.22 0.69 12 5,763,034 9.43
11. look look
looking
looks
Verb 9 -27.58 2.99 75.36 0.68 9 18,248,188 2.98
12. see saw
see
seeing
seen
sees
Verb 26 -25.46 6.82 109.89 0.77 19 4,833,999 11.25
13. can can Verb 50 -24.13 9.15 134.96 0.62 27 4,384,922 12.4
14. find find
found
Verb 9 -23.89 3.18 64.22 0.64 8 11,709,302 4.64
15. want want
wanted
wanting
wants
Verb 8 -23.23 2.8 59.04 0.61 7 18,983,829 2.86
16. tell tell
tells
told
Verb 6 -22.74 1.81 50.64 0.6 6 12,601,122 4.31
17. come came
come
comes
coming
Verb 22 -21.28 6.45 82.84 0.64 13 7,386,059 7.36
18. mean mean
meaning
means
meant
Verb 6 -19.8 1.99 43.42 0.6 6 17,054,807 3.19
19. make made
make
makes
making
Verb 48 -18.55 9.29 95.26 0.82 31 3,148,813 17.26
20. might might Verb 6 -17.87 2.12 38.73 0.6 6 13,476,741 4.03
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